Utilizing Novel Assessment and Instructional Methodologies of Trauma for Residents; A Case of Blended Learning in Shiraz Medical School

Development and validation of a nomogram for predicting deep venous thrombosis in patients with pelvic and acetabular fractures: a retrospective cohort study : Predictive model for pelvic/acetabular fractures

PURPOSE

To construct a novel nomogram model that can predict DVT and avoid unnecessary examination.

METHODS

Patients admitted to the hospital with pelvis/acetabular fractures were included between July 2014 and July 2018. The potential predictors associated with DVT were analyzed using Univariate and multivariable logistic regression analysis. The predictive nomogram was constructed and internally validated.

RESULTS

230 patients were finally enrolled. There were 149 individuals in the non-DVT group and 81 in the DVT group. Following analysis, we obtained the final nomogram model. The risk factors included age (OR, 1.037; 95% CI, 1.013-1.062; P = 0.002), body mass index (BMI) (OR, 1.253; 95% CI, 1.120-1.403; P < 0.001); instant application of anticoagulant after admission (IAA) (OR, 2.734; 95% CI, 0.847-8.829; P = 0.093), hemoglobin (HGB) (OR, 0.970; 95% CI, 0.954-0.986; P < 0.001), D-Dimer(OR, 1.154; 95% CI, 1.016-1.310; P = 0.027) and fibrinogen (FIB) (OR, 1.286; 95% CI, 1.024-1.616; P = 0.002). The apparent C-statistic was 0.811, and the adjusted C-statistic was 0.777 after internal validations, demonstrating good discrimination. Hosmer and Lemeshow's goodness of fit (GOF) test of the predictive model showed a good calibration for the probability of prediction and observation (χ2 = 3.285, P = 0.915; P > 0.05). The decision curve analysis (DCA) and Clinical impact plot (CIC) demonstrated superior clinical use of the nomogram.

CONCLUSIONS

An easy-to-calculate nomogram model for predicting DVT in patients with pelvic-acetabular fractures were developed. It could help clinicians to reduce DVT and avoid unnecessary examinations.

Risk factors for deep vein thrombosis in patients with pelvic or lower-extremity fractures in the emergency intensive care unit

Introduction

This study aimed to investigate the incidence of deep vein thrombosis (DVT) in patients with pelvic or lower-extremity fractures in the emergency intensive care unit (EICU), explore the independent risk factors for DVT, and investigate the predictive value of the Autar scale for DVT in these patients.

Methods

The clinical data of patients with single fractures of the pelvis, femur, or tibia in the EICU from August 2016 to August 2019 were retrospectively examined. The incidence of DVT was statistically analyzed. Logistic regression was used to analyze the independent risk factors for DVT in these patients. The receiver-operating characteristic (ROC) curve was used to evaluate the predictive value of the Autar scale for the risk of DVT.

Results

A total of 817 patients were enrolled in this study; of these, 142 (17.38%) had DVT. Significant differences were found in the incidence of DVT among the pelvic fractures, femoral fractures, and tibial fractures (P < 0.001). The multivariate logistic regression analysis showed multiple injuries (OR = 2.210, 95% CI: 1.166-4.187, P = 0.015), fracture site (compared with tibia fracture group, femur fracture group OR = 4.839, 95% CI: 2.688-8.711, P < 0.001; pelvic fracture group OR = 2.210, 95% CI: 1.225-3.988, P = 0.008), and Autar score (OR = 1.198, 95% CI: 1.016-1.353, P = 0.004) were independent risk factors for DVT in patients with pelvic or lower-extremity fractures in the EICU. The area under the ROC curve (AUROC) of the Autar score for predicting DVT was 0.606. When the Autar score was set as the cutoff value of 15.5, the sensitivity and specificity for predicting DVT in patients with pelvic or lower-extremity fractures were 45.1% and 70.7%, respectively.

Discussion

Fracture is a high-risk factor for DVT. Patients with a femoral fracture or multiple injuries have a higher risk of DVT. In the case of no contraindications, DVT prevention measures should be taken for patients with pelvic or lower-extremity fractures. Autar scale has a certain predictive value for the occurrence of DVT in patients with pelvic or lower-extremity fractures, but it is not ideal.

The application of Caprini Risk Assessment Model in evaluation of deep vein thrombosis for patients with end-stage osteoarthritis before arthroplasty

Background

Deep vein thrombosis (DVT) was a fatal complication of knee arthroplasty. We had neglected the risk factors of preoperative DVT although patients undergoing knee arthroplasty were at high risk for VTE. This study was to determine the risk factors for preoperative DVT and application of Caprini Risk Assessment Model (RAM) in patients with end-stage knee osteoarthritis (OA).

Methods

We retrospectively analyzed 1808 cases with end-stage knee OA undergoing primary knee arthroplasty from May 2015 to December 2020. Based on the results of ultrasonography in lower extremities, all patients were divided into non-DVT group and DVT group. Distribution of risk factors and risk levels were compared using χ² test between two groups. Binary logistic regression analysis was used to determine the risk factors and relationship of risk levels and preoperative DVT.

Results

The incidence of preoperative DVT was 5.53% (n = 100). Distribution of the study population by risk level was low, 4.09%; moderate, 23.95%; high, 66.98%; and highest 4.98%. Female (P = 0.002), age (P = 0.012), swollen legs (P = 0.035) and history of blood clots (P < 0.001) was correlated with preoperative DVT. Difference among four risk levels was significant (P = 0.007). Patients with highest risk level had statistically significant association with preoperative DVT (P = 0.005, OR = 2.93, 95%CI [1.375–6.246]).

Conclusion

The incidence of preoperative DVT was 5.53% in end-stage knee OA patients. The gender (female) and age were independent risk factors for preoperative DVT. The risk group classification by Caprini RAM was significantly associated with preoperative DVT. The usage of Caprini RAM before knee arthroplasty may be beneficial for prophylaxis of DVT.

AGEs/RAGE blockade downregulates Endothenin-1 (ET-1), mitigating Human Umbilical Vein Endothelial Cells (HUVEC) injury in deep vein thrombosis (DVT)

This study is aimed at identifying the roles of AGE/RAGE and ET-1 in deep vein thrombosis (DVT). Advanced glycation end products (AGEs) in glycated human serum albumin (M-HSA) were detected by ELISA. The viability of HUVECs was examined by CCK-8 assay. Flow cytometry was performed to detect cell apoptosis, followed by ELISA for the detection of inflammatory cytokine level and oxidative stress level in HUVECs. Immunofluorescence was performed to detect ET-1 and eNOS expression. The expression of specific proteins was assayed by western blot. As a result, decreased HUVEC viability was observed after stimulation with M-HSA, whereas RAGE inhibitor improved it. Cell apoptosis showed the opposite trend. Additionally, M-HSA-induced inflammatory cytokine release and oxidative stress of HUVECs were both alleviated by RAGE inhibitor. RAGE inhibitor also increased the levels of NO and eNOS while decreasing the level of ET-1 in M-HSA-stimulated HUVECs. Furthermore, decreased protein expression of Bax, cleaved-caspase3, RAGE, p65, ET-1 and iNOS was observed after treatment with RAGE inhibitor, in addition to increased protein expression of Bcl-2 and eNOS. In conclusion, blocking AGE/RAGE pathway downregulates ET-1, thereby mitigating HUVEC damage in DVT.

Study on the Risk Factors of Preoperative Deep Vein Thrombosis (DVT) in Patients With Lower Extremity Fracture

Objective:

The objective of this work is to discuss and analyze the related factors of lower extremity fracture complicated by preoperative deep vein thrombosis (DVT).

Methods:

A total of 11,891 patients with closed fractures of lower extremities were selected. By analyzing each patient’s gender, age, presence or absence of diabetes and hypertension, preoperative plasma D-dimer level, and color Doppler ultrasound of the lower extremity vein, the pertinent factors of the patients with lower extremity fractures complicated by preoperative DVT were analyzed.

Results:

A total of 578 with preoperative DVT were detected, displaying a total incidence of 4.86%. All patients were categorized into either the DVT group or non-DVT group. The results demonstrate that there were statistically significant differences between the 2 groups in age, the presence of diabetes and hypertension, the fracture site, and the preoperative plasma D-dimer level (P < 0.05). Logistic multivariate analysis revealed that age, the presence of diabetes, and the preoperative plasma D-dimer level of patients were independent risk factors for lower extremity fracture complicated by DVT.

Conclusion:

Age, the presence of diabetes, the fracture site, and increased D-dimer levels were found to be potential risk factors and indicators for preoperative DVT in patients with lower extremity fractures. In addition, the preoperative plasma D-dimer level has certain guiding significance for the prediction of venous thrombosis after lower extremity fracture, which is conducive to the early prediction and diagnosis of DVT, but it often must be followed with good clinic acumen and examinations.

Symptomatic Thromboembolic Complications After Shoulder Arthroplasty: An Update

BACKGROUND

Venous thromboembolism (VTE) complications, including deep vein thrombosis and pulmonary embolism, are dreaded complications of orthopaedic surgical procedures that can result in substantial morbidity and mortality. There is a paucity of data examining risk factors for VTE in shoulder arthroplasty. The purpose of the present study was to review the rate of symptomatic VTE, determine patient and operative risk factors for VTE, and report on complications associated with VTE following shoulder arthroplasty.

METHODS

Over a 16-year period, 5,906 patients underwent primary anatomic total shoulder arthroplasty, reverse total shoulder arthroplasty, or hemiarthroplasty. Symptomatic VTE events were identified in 24 shoulders within 90 days of surgery. Patient records were reviewed for surgical indication, patient and operative risk factors, and management of VTE.

RESULTS

The rate of symptomatic VTE following shoulder arthroplasty was 0.41%. There were no deaths resulting from VTE events. Compared with patients who did not have VTE, those with symptomatic VTE events were found to be older (74.75 versus 68.51 years; p = 0.0028) and more likely to have had arthroplasty for a traumatic indication (3.31% versus 0.33%; p < 0.001). Age of >70 years and arthroplasty for a traumatic indication were found to be independent risk factors on multivariate nominal logistic regression analysis, whereas body mass index, sex, operative time, and type of arthroplasty performed were not found to be independent risk factors. There were 11 readmissions resulting directly from the VTE events, and patients diagnosed with VTE as inpatients had longer hospital stays than outpatients (13.71 versus 1.94 days; p = 0.0002).

CONCLUSIONS

The risk of VTE following shoulder arthroplasty is low, and routine use of pharmacologic VTE prophylaxis may not be necessary. However, VTE complications can lead to substantial morbidity, longer hospital stays, readmission to the hospital, and further complications. Therefore, patients with multiple risk factors for VTE such as prior history of VTE, active malignancy, age of >70 years, or arthroplasty for traumatic indications should be considered for pharmacologic VTE prophylaxis.

LEVEL OF EVIDENCE

Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.